The normal distribution is probably the most well known statistical distribution:
it is also known as the Gaussian Distribution. A normal distribution
with mean zero and standard deviation one is known as the Standard
Normal Distribution.

Given mean μ and standard deviation σ it has the PDF:

The variation the PDF with its parameters is illustrated in the following
graph:

both return the standard deviation of this distribution.
(Redundant location and scale function are provided to match other similar
distributions, allowing the functions find_location and find_scale to
be used generically).

The domain of the random variable is [-[max_value], +[min_value]]. However,
the pdf of +∞ and -∞ = 0 is also supported, and cdf at -∞ = 0, cdf at +∞ = 1,
and complement cdf -∞ = 1 and +∞ = 0, if RealType permits.